We propose a facial landmark system constructed on anthropological principles that is intended to substitute the (costly) use of Action Units (AU) in characterizing facial dynamics, for the purpose of automatic emotion detection. We demonstrate the suitability of the method by implementing a lightweight automatic Anthropological Face Landmarks (AFL) identification algorithm and compare the task of emotional valence classification using the proposed system to explicitly using AU labels. Despite the comparison being unfair to our method (AUs are labeled by experts, while the landmarks are detected automatically), we show that even in a Proof-of-Concept setting, our system follows closely the performance of detecting emotions with Action Units.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Automatic Identification of Anthropological Face Landmarks for Emotion Detection




    Publication date :

    2019-06-01


    Size :

    768443 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Real Time Fatigue Detection Using Shape Predictor 68 Face Landmarks Algorithm

    M, Palaniappan / K R, Sowmia / S, Aravindkumar | IEEE | 2022


    Analysis of landmarks in recognition of face expressions

    Alugupally, N. / Samal, A. / Marx, D. et al. | British Library Online Contents | 2011


    3D human face description: landmarks measures and geometrical features

    Vezzetti, E. / Marcolin, F. | British Library Online Contents | 2012


    How effective are landmarks and their geometry for face recognition?

    Shi, J. / Samal, A. / Marx, D. | British Library Online Contents | 2006